PhD completion target · May 2027

Trustworthy ML · Agentic systems · Time-series intelligence

I turn difficult research questions into systems people can test, trust, and use.

PhD candidate in Abu Dhabi working across biomedical AI, quantitative time series, and agentic software. My work pairs rigorous evaluation with an instinct to ship—from leakage-free benchmarks and deployable EEG models to bilingual decision tools.

Abu Dhabi, UAEAI Researcher & Builder

Selected work

One research habit, applied across domains.

Start with the hard question. Build the smallest honest evaluation. Then make the result useful beyond the notebook.

Filter projects

Showing 7 projects

052026
Explorations

Isochrona

Live exploration

A bilingual, multimodal map that rearranges the world by realistic door-to-door travel time instead of distance.

Dijkstra routing combines rail, flight, road, and transfer overhead across 106 cities with animated routes and explicit modeling assumptions.

  • JavaScript
  • Graph algorithms
  • Leaflet
  • Data UX
062026
Explorations

Tu Ritmo · Zumba Hub

Live exploration

A bilingual self-learning system that organizes Zumba formats, rhythms, progression, instructors, and cross-training into a usable path.

Four responsive pages, curated resources, persistent progress tracking, and reduced-motion support—built with dependency-free HTML, CSS, and JavaScript.

  • HTML
  • CSS
  • JavaScript
  • Bilingual UX
072026
Explorations

Abu Dhabi & Dubai Foodie Map

Live product

A trilingual guide for discovering restaurants, bars, and cafés across Abu Dhabi and Dubai by cuisine, dish, price, and current deals.

456 curated venues, instant English–Chinese–Arabic switching with RTL support, and a public Cloudflare deployment with Google Maps-assisted discovery.

  • JavaScript
  • Cloudflare Workers
  • Trilingual UX
  • Google Maps API

Research & impact

Evidence before confidence.

My research asks what survives contact with a new patient, a shifted distribution, or a real deployment boundary—not only what scores well in one experiment.

I care about patient-independent validation, event-level metrics, interpretable fusion, and documenting failure modes as carefully as wins.

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    PublishedFirst author

    Hybrid Topological and Temporal Feature Extraction for EEG-Based Seizure Detection

    IEEE HealthCom · 2025

  3. 03
    In preparationFirst author

    MV-AFA: A Topology-Aware Multi-View Adaptive Fusion Attention Framework for EEG-Based Epileptic Seizure Detection

    Computers in Biology and Medicine · In progress

  4. 04
    In preparationFirst author

    Topological Data Analysis for EEG Seizure Monitoring: A Systematic Review of Signal Processing and Benchmark Protocols

    Biomedical Signal Processing and Control · In progress

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About & trajectory

Depth in the method. Breadth in the frame.

Deep technical training taught me to stay with a problem until the evidence is sound. Technology Strategy and Sustainable Development widened that frame: I learned to examine how companies evolve, use tools such as SWOT to reason about market position, and consider the long-term consequences of technical choices. That combination—rigor, ownership, and strategic perspective—is the work I want to keep doing.

Education

  1. PhD Candidate · Computer Science

    Khalifa University

    2023 — PresentGPA 3.71/4.00 · Expected May 2027
  2. MSc · Computer Science, AI concentration

    Khalifa University

    2021 — 2022Abu Dhabi, UAE
  3. BEng · Internet of Things Engineering

    Shandong University of Science and Technology

    2014 — 2018LANGUANG Scholarship

Recognition

  • Best Paper Award · GSRC 2025

    Graduate Students Research Conference

  • IEEE BioCAS 2026

    First-author paper accepted

METHODEVIDENCEUSE

Contact

Bring me the consequential problem.

I am open to conversations around applied AI, agent engineering, trustworthy time-series ML, quantitative research, and research collaborations.